{"id":"https://openalex.org/W4411280489","doi":"https://doi.org/10.1145/3699682.3728350","title":"Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems","display_name":"Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems","publication_year":2025,"publication_date":"2025-06-13","ids":{"openalex":"https://openalex.org/W4411280489","doi":"https://doi.org/10.1145/3699682.3728350"},"language":"en","primary_location":{"id":"doi:10.1145/3699682.3728350","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3699682.3728350","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3699682.3728350","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3699682.3728350","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101973497","display_name":"R. S. Pathak","orcid":"https://orcid.org/0000-0002-5030-4841"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Royal Pathak","raw_affiliation_strings":["Computing, Boise State University, Boise, ID, USA"],"raw_orcid":"https://orcid.org/0000-0002-5030-4841","affiliations":[{"raw_affiliation_string":"Computing, Boise State University, Boise, ID, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045206246","display_name":"Francesca Spezzano","orcid":"https://orcid.org/0000-0002-0361-9728"},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francesca Spezzano","raw_affiliation_strings":["Computer Science, Boise State University, Boise, ID, USA"],"raw_orcid":"https://orcid.org/0000-0002-0361-9728","affiliations":[{"raw_affiliation_string":"Computer Science, Boise State University, Boise, ID, USA","institution_ids":["https://openalex.org/I120156002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101973497"],"corresponding_institution_ids":["https://openalex.org/I120156002"],"apc_list":null,"apc_paid":null,"fwci":3.5831,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91527324,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.7972596287727356},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7921778559684753},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.77098548412323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714259147644043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34687310457229614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3145790100097656},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14006298780441284}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.7972596287727356},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7921778559684753},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.77098548412323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714259147644043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34687310457229614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3145790100097656},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14006298780441284},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3699682.3728350","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3699682.3728350","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3699682.3728350","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3699682.3728350","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3699682.3728350","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3699682.3728350","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8060022689","display_name":null,"funder_award_id":"1943370","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411280489.pdf","grobid_xml":"https://content.openalex.org/works/W4411280489.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1583059097","https://openalex.org/W1613353461","https://openalex.org/W1774848501","https://openalex.org/W2042281163","https://openalex.org/W2061820396","https://openalex.org/W2101409192","https://openalex.org/W2116206254","https://openalex.org/W2132553681","https://openalex.org/W2135598826","https://openalex.org/W2155106456","https://openalex.org/W2232384272","https://openalex.org/W2341285149","https://openalex.org/W2760944227","https://openalex.org/W2792990871","https://openalex.org/W2977914931","https://openalex.org/W3031781733","https://openalex.org/W3032861513","https://openalex.org/W3037025384","https://openalex.org/W3037764355","https://openalex.org/W3040911419","https://openalex.org/W3098835531","https://openalex.org/W3101793783","https://openalex.org/W3102755086","https://openalex.org/W3125936870","https://openalex.org/W3134403732","https://openalex.org/W3161219713","https://openalex.org/W3216993431","https://openalex.org/W4224308571","https://openalex.org/W4224313641","https://openalex.org/W4226280022","https://openalex.org/W4281969854","https://openalex.org/W4283325287","https://openalex.org/W4296312686","https://openalex.org/W4306175384","https://openalex.org/W4380881053","https://openalex.org/W4385806860","https://openalex.org/W4392823388","https://openalex.org/W4393103082","https://openalex.org/W4394879858","https://openalex.org/W4394880004","https://openalex.org/W4396898769","https://openalex.org/W4399423429","https://openalex.org/W4400106133","https://openalex.org/W4400853780"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,20],"are":[2,118],"essential":[3],"on":[4,63,127],"social":[5],"media":[6],"platforms,":[7],"shaping":[8],"the":[9,25,75,107],"order":[10],"of":[11,27,65,77,109,129],"information":[12],"users":[13],"encounter":[14],"and":[15,39,54],"facilitating":[16],"news":[17],"discovery.However,":[18],"these":[19,78,102,115],"can":[21,57],"inadvertently":[22],"contribute":[23],"to":[24,73,90,95],"spread":[26],"misinformation":[28,60,122],"by":[29],"reinforcing":[30],"algorithmic":[31],"biases,":[32],"fostering":[33],"excessive":[34],"personalization,":[35],"creating":[36],"filter":[37],"bubbles,":[38],"amplifying":[40],"false":[41],"narratives.Recent":[42],"studies":[43],"have":[44],"demonstrated":[45],"that":[46,114],"intervention":[47,116],"strategies,":[48],"such":[49],"as":[50],"Virality":[51],"Circuit":[52],"Breakers":[53],"accuracy":[55],"nudges,":[56],"effectively":[58],"mitigate":[59],"when":[61,125],"implemented":[62],"top":[64,128],"recommender":[66,130],"systems.Despite":[67],"this,":[68],"existing":[69],"literature":[70],"has":[71],"yet":[72],"explore":[74],"robustness":[76],"interventions":[79,103],"against":[80,121],"circumvention-where":[81],"individuals":[82],"or":[83,87],"groups":[84],"intentionally":[85],"evade":[86],"resist":[88],"efforts":[89],"counter":[91],"misinformation.This":[92],"research":[93],"aims":[94],"address":[96],"this":[97],"gap,":[98],"examining":[99],"how":[100],"well":[101],"hold":[104],"up":[105],"in":[106],"face":[108],"circumvention":[110,123],"tactics.Our":[111],"findings":[112],"highlight":[113],"strategies":[117],"generally":[119],"robust":[120],"threats":[124],"applied":[126],"systems.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}